Geschäftskunden Kundenprogramme

KI-Beratung Beta
Vor Ort
Merkzettel Warenkorb
Produktbild: Data Integration in the Life Sciences
Band 11371

Data Integration in the Life Sciences 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, Proceedings

Aus der Reihe Lecture Notes in Bioinformatics

Fr. 72.90

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.12.2018

Abbildungen

XI, 218 p. 81 illus., 62 illus. in color.

Herausgeber

Sören Auer + weitere

Verlag

Springer

Seitenzahl

218

Maße (L/B/H)

23.5/15.5/1.3 cm

Gewicht

359 g

Auflage

1st ed. 2019

Sprache

Englisch

ISBN

978-3-030-06015-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.12.2018

Abbildungen

XI, 218 p. 81 illus., 62 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

218

Maße (L/B/H)

23.5/15.5/1.3 cm

Gewicht

359 g

Auflage

1st ed. 2019

Sprache

Englisch

ISBN

978-3-030-06015-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Data Integration in the Life Sciences

  • Big Biomedical Data Integration and Management.- Do Scaling Algorithms Preserve Word2Vec Semantics? A Case Study for Medical Entities.- Combining semantic and lexical measures to evaluate medical terms similarity.- Construction and Visualization of Dynamic Biological Networks: Benchmarking the Neo4J Graph Database.- A Knowledge-driven Pipeline from Transforming Big Data into Actionable Knowledge.- Leaving no stone unturned: Using machine learning based approaches for information extraction from full texts of a research data warehouse.- Data Exploration in the Life Sciences.- Towards research infrastructures that curate scientific information: A use case in life sciences.- Interactive Visualization for large-scale multi-factorial Research Designs.- FedSDM: Semantic Data Manager for Federations of RDF Datasets.- Data Integration for Supporting Biomedical Knowledge Graph Creation at Large-Scale.- DISBi: A flexible framework for integrating systems biology data.- Biomedical Data Analytics.- Using Machine Learning to Distinguish Infected from Non-Infected Subjects at an Early Stage Based on Viral Inoculation.- Automated Coding of Medical Diagnostics from Free-Text: the Role of Parameters Optimization and Imbalanced Classes.- A learning-based approach to combine medical annotation results.- Knowledge Graph Completion to Predict Polypharmacy Side Effects.- Big Biomedical Applications.- Lung Cancer Concept Annotation from Spanish Clinical Narratives.- Linked Data based Multi-Omics Integration and Visualization for Cancer Decision Networks.- The Hannover Medical School Enterprise Clinical Research Data Warehouse: 5 years of experience.- User-Driven Development of a Novel Molecular Tumor Board Support Tool.- Using Semantic Programming for developing a Web Content Management System for semantic Phenotype Data.- Converting Alzheimer's disease map into a heavyweight ontology: a formal network to integrate data.